Mikhail Trofimov

423 total citations
4 papers, 245 citations indexed

About

Mikhail Trofimov is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mikhail Trofimov has authored 4 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Mikhail Trofimov's work include Recommender Systems and Techniques (1 paper), Embedded Systems Design Techniques (1 paper) and VLSI and FPGA Design Techniques (1 paper). Mikhail Trofimov is often cited by papers focused on Recommender Systems and Techniques (1 paper), Embedded Systems Design Techniques (1 paper) and VLSI and FPGA Design Techniques (1 paper). Mikhail Trofimov collaborates with scholars based in Russia and Italy. Mikhail Trofimov's co-authors include Dmitry Ulyanov, Mansour Ahmadi, Giorgio Giacinto, Ivan Oseledets, Alexander Novikov and Massih-Reza Amini and has published in prestigious journals such as Bulletin of the Polish Academy of Sciences Technical Sciences, arXiv (Cornell University) and UNICA IRIS Institutional Research Information System (University of Cagliari).

In The Last Decade

Mikhail Trofimov

4 papers receiving 232 citations

Peers

Mikhail Trofimov
Mady Marinescu United States
Mikhail Trofimov
Citations per year, relative to Mikhail Trofimov Mikhail Trofimov (= 1×) peers Mady Marinescu

Countries citing papers authored by Mikhail Trofimov

Since Specialization
Citations

This map shows the geographic impact of Mikhail Trofimov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikhail Trofimov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Trofimov more than expected).

Fields of papers citing papers by Mikhail Trofimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Trofimov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikhail Trofimov. The network helps show where Mikhail Trofimov may publish in the future.

Co-authorship network of co-authors of Mikhail Trofimov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Trofimov. A scholar is included among the top collaborators of Mikhail Trofimov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Trofimov. Mikhail Trofimov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Novikov, Alexander, Mikhail Trofimov, & Ivan Oseledets. (2018). Exponential machines. Bulletin of the Polish Academy of Sciences Technical Sciences. 789–797. 10 indexed citations
2.
Trofimov, Mikhail, et al.. (2017). Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems.. arXiv (Cornell University). 5 indexed citations
3.
Ahmadi, Mansour, et al.. (2016). Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification. UNICA IRIS Institutional Research Information System (University of Cagliari). 183–194. 224 indexed citations
4.
Trofimov, Mikhail, et al.. (2004). The realization of algorithmic description on VHDL-AMS. International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science. 350–352. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026